Browsing by Author "Ulkutas, Hesna Ozbek"

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    Computer Based Eye-Writing System by Using Eog
    (2015) Ulkutas, Hesna Ozbek; Yildiz, Metin; 0000-0002-2554-6953; JJF-5070-2023
    The aim of this study is to suggest a faster method that would also have better accuracy rate in coding eye movements into characters compared to previously developed by EOG visual writing techniques and to develop a system of computer-based applications that would implement this new method. To this end, several experiments were utilized in order to determine the performance of the observed coding method we propose, with reference to these experiments results; a new method encoding 29 letters and 3 commands ( spaces, erase, read) by utilizing only 4 directions with two different angles and four different waiting period is proposed. For implementing proposed new technique, a computer based EOG measurement and inference system is developed. The results of trials with this newly developed system indicate that while the accuracy rate of coding into right characters in the first trial of a text comprised of 180 letters is 92.5%, this accuracy rate of the coding reaches to 100% starting from the fourth trial of the technique. Average writing speed of 16.8 words per minute that is measured with this method is the highest rate that has been achieved among EOG-based systems.
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    A New PC-Based Text Entry System Based on EOG Coding
    (2018) Yildiz, Metin; Ulkutas, Hesna Ozbek; 0000-0002-2554-6953
    ome disadvantages of optical eye tracking systems have increased the interest to EOG (Electrooculography) based Human Computer Interaction (HCI). However, text entry attempts using EOG have been slower than expected because the eyes should move several times for entering a character. In order to improve the writing speed and accuracy of EOG based text entry, a new method based on the coding of eye movements has been suggested in this study. In addition, a real time EOG based HCI system has developed to implement the method. In our method all characters have been encoded by single saccades in 8 directions and different dwell time. In order to standardize dwell times and facilitate the coding process, computer assisted voice guidance was used. A number of experiments have been conducted to examine the effectiveness of the proposed method and system. At the end of the fifth trials, an experienced user was able to write at average 13.2 wpm (5 letters = 1 word) with 100% accuracy using the developed system. The results of our experiments have shown that text entry with the eye can be done quickly and efficiently with the proposed method and system.